The goal of preprocS2 is to provide a common framework for teh preprocessing of Level-2A Sentinel-2 images. Sentinel-2 L2A images can be produced or obtained from various data hubs or atmospheric correction methods. preprocS2 provides a unique function to read, crop, resample the original image directory, and write it as a raster stack.
After installing package devtools, you need to install the package preprocS2 with the following command line in R session:
devtools::install_gitlab('jbferet/preprocS2')
A tutorial vignette is available here.
This is a basic example which shows you how to solve a common problem:
library(preprocS2)
## Registered S3 method overwritten by 'geojsonsf':
## method from
## print.geojson geojson
## basic example code
What is special about using README.Rmd instead of just README.md? You can include R chunks like so:
summary(cars)
## speed dist
## Min. : 4.0 Min. : 2.00
## 1st Qu.:12.0 1st Qu.: 26.00
## Median :15.0 Median : 36.00
## Mean :15.4 Mean : 42.98
## 3rd Qu.:19.0 3rd Qu.: 56.00
## Max. :25.0 Max. :120.00
You’ll still need to render README.Rmd regularly, to keep README.md up-to-date. devtools::build_readme() is handy for this. You could also use GitHub Actions to re-render README.Rmd every time you push. An example workflow can be found here: https://github.com/r-lib/actions/tree/master/examples.
You can also embed plots, for example:
In that case, don’t forget to commit and push the resulting figure files, so they display on GitHub and CRAN.